ad-domain

ad-domain is a Decision records & design docs skill for AI agents, published by alexandremendoncaalvaro in the CorridorKey-Runtime repository on GitHub. Skillspace rates ad-domain D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Lazily create or update `CONTEXT.md` (Layer 2 — ubiquitous language per Evans 2003) at the repo root, or `CONTEXT-MAP.md` plus per-context `CONTEXT.md` for multi-context repos. Captures canonical project-specific nouns, the aliases to avoid, the relationships between them, and resolved ambiguities. Triggers on "domain term", "ubiquitous language", "glossary", "what should we call", "naming drift", "canonical noun", "_Avoid_", "/ad-domain", or whenever a grilling/spec/architecture session resolves a vocabulary question. Lazy by design — file only exists when there is something to write.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
749

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
99 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Also published in 1 other repo

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.